Modeling of the process of time change in quantitative indicators of transmission reliability of multi-axle wheeled chassis at the design stage

Multi-axle wheeled chassis are widely used to solve various transport and logistics tasks in areas with difficult terrain, unfavorable soil conditions, the presence of natural obstacles and the lack of minimum necessary transport infrastructure. The object of the study is a mechanical transmission of a multiaxial wheeled chassis with several drive and non-driving axles. The purpose of the study is to create an engineering methodology for predicting the kinetics (changes over time or depending on mileage) of quantitative indicators of the reliability of the transmission as a whole and its key subsystems during the entire service life of the chassis. The methodology is based on the developed probabilistic mathematical model. It allows you to predict the kinetics of reliability indicators of both the mechanical transmission as a whole and its subsystems, taking into account the timing and volume of repair and restoration work. The calculation of the probabilities of finding the transmission and its subsystems in good condition at any given time is based on solving the Chapman-Kolmogorov system of linear differential equations. Periodic reformulation of this system of equations is provided at the time of scheduled repairs of the wheeled chassis. The results of a test calculation example and their analysis are presented in relation to the mechanical transmission of a 6-axle wheeled chassis with a 12×10 wheel formula.

Authors

Publication Details

Journal
Nauchno-tekhnicheskiy vestnik Bryanskogo gosudarstvennogo universiteta
Published
2025-09-25
DOI
https://doi.org/10.22281/2413-9920-2025-11-03-298-311
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling of the process of time change in quantitative indicators of transmission reliability of multi-axle wheeled chassis at the design stage

А.В. Лагерев, G. S. Mazlumyan, V.I. Tarichko
Nauchno-tekhnicheskiy vestnik Bryanskogo gosudarstvennogo universiteta
Engineering Diagnostics and Reliability
article

Modeling of the process of time change in quantitative indicators of transmission reliability of multi-axle wheeled chassis at the design stage

А.В. Лагерев, G. S. Mazlumyan, V.I. Tarichko
article en

Abstract

Multi-axle wheeled chassis are widely used to solve various transport and logistics tasks in areas with difficult terrain, unfavorable soil conditions, the presence of natural obstacles and the lack of minimum necessary transport infrastructure. The object of the study is a mechanical transmission of a multiaxial wheeled chassis with several drive and non-driving axles. The purpose of the study is to create an engineering methodology for predicting the kinetics (changes over time or depending on mileage) of quantitative indicators of the reliability of the transmission as a whole and its key subsystems during the entire service life of the chassis. The methodology is based on the developed probabilistic mathematical model. It allows you to predict the kinetics of reliability indicators of both the mechanical transmission as a whole and its subsystems, taking into account the timing and volume of repair and restoration work. The calculation of the probabilities of finding the transmission and its subsystems in good condition at any given time is based on solving the Chapman-Kolmogorov system of linear differential equations. Periodic reformulation of this system of equations is provided at the time of scheduled repairs of the wheeled chassis. The results of a test calculation example and their analysis are presented in relation to the mechanical transmission of a 6-axle wheeled chassis with a 12×10 wheel formula.

Nauchno-tekhnicheskiy vestnik Bryanskogo gosudarstvennogo universitetaVol. 11(3)
Openalex Percentile: Top 70%
Engineering Diagnostics and Reliability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.